Results 161 to 170 of about 136,207 (260)
A spam detection model based on the discriminative TF-IDF belief rule base. [PDF]
Yang X, Zhou W, Duan X, Ma N, Wang Y.
europepmc +1 more source
Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare +3 more
wiley +1 more source
Hybrid topic classification approach integrating TF-IDF, BiGRU, and modified builder optimization algorithm (MBOA). [PDF]
Gao X, Li R, Mashhadi A.
europepmc +1 more source
Abstract Drawing on Intergroup Threat Theory as an analytical framework, this study analyses pandemic‐driven Sinophobic tweets to examine how threat‐laden language influences user engagement through computational text analysis. Findings showed that those conveying ideological threats generated higher engagement, whereas those involving mixed threat ...
Hyejin Kim, Thyago Mota, Sanga Song
wiley +1 more source
A hybrid model integrating RoBERTa, TF-IDF, and attention mechanism for medical query intent classification. [PDF]
Liang Z, Zhao Y, Xu H, Huang H, Chen L.
europepmc +1 more source
ABSTRACT Online dissemination of conspiracy theories (CTs) during epidemics poses significant risks to public health. This paper addresses the problem of detecting CTs in social media posts with an emphasis on the resource‐constrained scenarios characterized by the scarcity of labelled datasets and expert annotations, and the lack of computational ...
Ipek Baris Schlicht +4 more
wiley +1 more source
Features extraction based on Naive Bayes algorithm and TF-IDF for news classification. [PDF]
Zhang L.
europepmc +1 more source
Single cell RNA-seq data clustering using TF-IDF based methods. [PDF]
Moussa M, Măndoiu II.
europepmc +1 more source
ABSTRACT This paper investigates the evolving landscape of research on the economics of artificial intelligence (AI). Using topic modeling on a corpus of over 4,600 academic papers, we identify the dominant themes that have shaped the literature to date and highlight areas that remain relatively underexplored. In addition, we assess the extent to which
Lucy Hampton, John Lourenze Poquiz
wiley +1 more source

